A Novel Approach to Temporal QoS Estimation via Extended Kalman Filter-Incorporated Latent Feature Analysis
A Provably Cost-Efficient Approach to Deploying MoE Inference Models at the Network Edge
A Spatio-Temporal Graph Neural Network for Process Remaining Time Prediction
Adaptive Function Service Auto-Scaling for Serverless Computing via Deep Recurrent Reinforcement Learning
AgenticOTA: An Agentic AI Pipeline for Context-Aware Over-the-Air Update Deployments in Connected Autonomous Vehicles
Automated Refactoring for Conditional Branching
BOTVPA: An SLO-Aware and Efficient Resource Scheduling Method for Microservice
Collaborative Knowledge Editing for Large Language Model Services in Edge-Cloud Computing
Collaborative Service of On-Device Unimodal Model and Cloud-Based Multimodal Model for Mobile Livestreaming Content Understanding
$\mathsf {DARTIC}$: Decentralized Anonymous Reputation at Scale for Trustworthy Crowdsourcing
Defense Against Membership Inference Attacks via Normalizing Flow-Based Adversarial Sample
Efficient and Effective Personalized In-Context Learning for On-Device Large Model Services
Efficient Microservice Autoscaling Through $\mu$Opt
HyDuo: A Low-Latency and Cost-Efficient Storage System for Stateful Serverless Applications
Integrating Multi-Agent Reinforcement Learning and XGBoost for Efficient Large-Scale Dynamic Workflow Scheduling in Cloud Environments
Intelligent Cooperative Computation Offloading and Resource Allocation for Dual-Dependency Tasks in Edge Computing
LEABS: A Latency- and Resource-Aware Bi-Directional Service Scheduling Framework for Relay Chains in the Internet of Vehicles
Leveraging Co-Occurrence Bias in Web API Recommendation via Causality-Inspired Context-Adjusted Graph Learning
LMSR: LLM-Enhanced Multi-Perspective Service Feature Learning for Web API Recommendation
LogMUSE: Log Anomaly Detection via Multi-Scale Semantic Representation
Matching and Exchange-Based Utility Maximization for Fog Computing-Enabled Smart Healthcare
Microservices Anomaly Detection Based on Adaptive Wavelet Convolutional Networks and Transformer
MS$^{2}$2-Diff: Multi-View Guided Diffusion With Active Retrieval for Service Generative Recommendation
Online Multi-Task Business Process Prediction Using Dynamic Representation
OSGS: A Framework for Online Scheduling of Satellite-Ground Collaborative Inference With Space Edge Computing
PlanTwin: Privacy-Preserving Planning Abstractions for Cloud-Assisted LLM Agents
Reverse-Offloading Incentive Mechanism With Long-Term Optimization in Social-Aware Cloud-Edge Systems
ROMA: Enhancing Container OOM Resilience via Reinforced Isolation and Adaptive Shared Resource Reclamation
SecDiv: Privacy-Preserving Diversity-Constrained Top-$k$k Query Processing in the Cloud
$\mathsf {SENTRY}$: A Compliance-Check Service for Dynamic Searchable Encryption With Sanitized Authorization Query
Skewness-Aware Stream Partitioning: A Key Splitting Suppression Method for Distributed Stream Processing
SLICE: SLO-Driven Scheduling for LLM Inference on Edge Computing Devices
SpaceMeet: Bringing Conferencing Closer Through In-Orbit Conferencing Services
STAR: A Sequential Transformer-Based Adaptive Reinforcement Learning Framework for Service Recommendation
STF: Steady and Transient Factorization for Sparse Time-Aware QoS Prediction
Toward Reliable and Secure Cloud Services With Fault-Tolerant Searchable Encryption
Editorial: TSC Celebrates IEEE Computer Society's 80th Anniversary
Guest Editors’ Introduction: Metaverse Services
CrossMeta: A Fast and Cheap Cross-Metaverse Interoperability Protocol
Crossport: A Cloud-Edge-End Microservice Architecture for Collaborative Rendering in Metaverse Services
FedHydra: Toward Parameter-Efficient and Backdoor-Resistant Federated Unlearning in Human-Centric Metaverse Service
Pre-Fetch or Not: A Privacy-Aware Edge-User Co-Opetition Delivery Framework for Metaverse Multimedia Services
Trusted Lifecycle Management for AIGC Services in Metaverse: A Blockchain-Empowered Collaborative Service Framework
Bi-Objective Optimization for Task Offloading in Vehicular Edge Metaverse
Joint Optimization of Fine-Grained Representation and Workflow Orchestration in Metaverse Articulated Manipulation Auto-Generation by VLA Method
User-Oriented Fuzzy Requirement Clarification for Agent Services Delivery Based on LLMs
Avatar Standardization Efforts for Interoperable Metaverse Services: Toward a Seamless Avatar-as-a-Service Ecosystem
Multi-Center Hierarchical Federated Learning for Personalized User Experiences in the Metaverse
A Digital Twin-Enhanced Cloud-Edge-End Collaboration Scheme for Intelligent Resource Orchestration
A Global Cyber Threat Resilient Cloud Collaboration Framework for Geographically Distributed Data Centers